Search Results for author: Rachele Sprugnoli

Found 15 papers, 1 papers with code

Overview of the EvaLatin 2022 Evaluation Campaign

no code implementations LT4HALA (LREC) 2022 Rachele Sprugnoli, Marco Passarotti, Flavio Massimiliano Cecchini, Margherita Fantoli, Giovanni Moretti

This paper describes the organization and the results of the second edition of EvaLatin, the campaign for the evaluation of Natural Language Processing tools for Latin.

Lemmatization Part-Of-Speech Tagging

Overview of the EvaLatin 2020 Evaluation Campaign

no code implementations LREC 2020 Rachele Sprugnoli, Marco Passarotti, Flavio Massimiliano Cecchini, Matteo Pellegrini

This also allows us to propose the Cross-genre and Cross-time subtasks for each task, in order to evaluate the portability of NLP tools for Latin across different genres and time periods.

Lemmatization Part-Of-Speech Tagging

Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin.

no code implementations LREC 2020 Rachele Sprugnoli, Marco Passarotti, Daniela Corbetta, Andrea Peverelli

Sentiment lexicons are essential for developing automatic sentiment analysis systems, but the resources currently available mostly cover modern languages.

Sentiment Analysis

Novel Event Detection and Classification for Historical Texts

no code implementations CL 2019 Rachele Sprugnoli, Sara Tonelli

However, the recognition and elaboration of events is a crucial step when dealing with historical texts Particularly in the current era of massive digitization of historical sources: Research in this domain can lead to the development of methodologies and tools that can assist historians in enhancing their work, while having an impact also on the field of Natural Language Processing.

Classification Event Detection +1

Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying

no code implementations WS 2018 Rachele Sprugnoli, Stefano Menini, Sara Tonelli, Filippo Oncini, Enrico Piras

Although WhatsApp is used by teenagers as one major channel of cyberbullying, such interactions remain invisible due to the app privacy policies that do not allow ex-post data collection.

RAMBLE ON: Tracing Movements of Popular Historical Figures

no code implementations EACL 2017 Stefano Menini, Rachele Sprugnoli, Giovanni Moretti, Enrico Bignotti, Sara Tonelli, Bruno Lepri

We present RAMBLE ON, an application integrating a pipeline for frame-based information extraction and an interface to track and display movement trajectories.

The Content Types Dataset: a New Resource to Explore Semantic and Functional Characteristics of Texts

no code implementations EACL 2017 Rachele Sprugnoli, Tommaso Caselli, Sara Tonelli, Giovanni Moretti

This paper presents a new resource, called Content Types Dataset, to promote the analysis of texts as a composition of units with specific semantic and functional roles.

Classification General Classification +1

``Who was Pietro Badoglio?'' Towards a QA system for Italian History

no code implementations LREC 2016 Stefano Menini, Rachele Sprugnoli, Antonio Uva

This paper presents QUANDHO (QUestion ANswering Data for italian HistOry), an Italian question answering dataset created to cover a specific domain, i. e. the history of Italy in the first half of the XX century.

Question Answering

NLP and Public Engagement: The Case of the Italian School Reform

no code implementations LREC 2016 Tommaso Caselli, Giovanni Moretti, Rachele Sprugnoli, Sara Tonelli, Damien Lanfrey, Donatella Solda Kutzmann

In this paper we present PIERINO (PIattaforma per l{'}Estrazione e il Recupero di INformazione Online), a system that was implemented in collaboration with the Italian Ministry of Education, University and Research to analyse the citizens{'} comments given in {\#}labuonascuola survey.

Temporal Information Annotation: Crowd vs. Experts

no code implementations LREC 2016 Tommaso Caselli, Rachele Sprugnoli, Oana Inel

This paper describes two sets of crowdsourcing experiments on temporal information annotation conducted on two languages, i. e., English and Italian.

General Classification

CROMER: a Tool for Cross-Document Event and Entity Coreference

1 code implementation LREC 2014 Christian Girardi, Manuela Speranza, Rachele Sprugnoli, Sara Tonelli

In this paper we present CROMER (CROss-document Main Events and entities Recognition), a novel tool to manually annotate event and entity coreference across clusters of documents.

Coreference Resolution Retrieval

Crowdsourcing for the identification of event nominals: an experiment

no code implementations LREC 2014 Rachele Sprugnoli, Aless Lenci, ro

This paper presents the design and results of a crowdsourcing experiment on the recognition of Italian event nominals.

Question Answering

CAT: the CELCT Annotation Tool

no code implementations LREC 2012 Valentina Bartalesi Lenzi, Giovanni Moretti, Rachele Sprugnoli

Further, the tool has a number of features which make it an easy-to-use tool for many types of annotations.

Management text annotation

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